Text-to-Audio
Diffusers
English
FlaxStableDiffusionPipeline
TPU
JAX
Flax
stable-diffusion
text-to-image
Instructions to use flax/Analog-Diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use flax/Analog-Diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("flax/Analog-Diffusion", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a2d34a104a51b5a123bd5a08261ea94dc20d0c7e29430ef72352e373ce0c12c9
- Size of remote file:
- 3.44 GB
- SHA256:
- 6358a5ea277177a78ddcb729d701ae5abceb9f543326b0b7852d32bb047cd3c1
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